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Contract Amazon Business Intelligence Engineer Jobs in Raleigh, NC

Lead Data Engineer

Raleigh, NC · Remote

$111K - $133K/yr

... analytics, reporting, business intelligence, and operational decision-making across the ... Amazon Kinesis, Qlik Replicate, Snow pipe Streaming, or equivalent platforms. * Experience ...

Network Security Engineer

Durham, NC · On-site

$101K - $138K/yr

... Datawarehouse & Business Intelligence Infrastructure & Network Services Risk Management ... Contract Staffing (Staff Augmentation) Permanent Placement (Staff Augmentation) ICAP (Contractor ...

... Datawarehouse & Business Intelligence Infrastructure & Network Services Risk Management ... Contract Staffing (Staff Augmentation) Permanent Placement (Staff Augmentation) ICAP (Contractor ...

... Intelligence Infrastructure & Network Services Risk Management & Compliance Business Continuity & Disaster Recovery Security & Privacy Specialties: Contract Staffing (Staff Augmentation) Permanent ...

... Intelligence Infrastructure & Network Services Risk Management & Compliance Business Continuity & Disaster Recovery Security & Privacy Specialties Contract Staffing (Staff Augmentation) Permanent ...

Clinical Contracts Analyst (REMOTE)

Morrisville, NC · Remote

$64K - $78K/yr

... business intelligence support for clinical trials. Track timelines and ensure contract and ... Collaborate with project team members on the development and testing of study payment programming ...

Clinical Contracts Analyst (REMOTE)

Morrisville, NC · On-site +1

$64K - $78K/yr

... business intelligence support for clinical trials. • Track timelines and ensure contract and ... programming • Interface with Finance and Accounts Payable as needed on payment inquiries. • ...

Showing results 41-60

Contract Amazon Business Intelligence Engineer information

See Raleigh, NC salary details

$28

$55

$77

How much do contract amazon business intelligence engineer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for contract amazon business intelligence engineer in Raleigh, NC is $55.46, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $61.92 per hour, depending on experience, location, and employer.

What is the difference between Contract Amazon Business Intelligence Engineer vs Contract Data Analyst?

AspectContract Amazon Business Intelligence EngineerContract Data Analyst
Required SkillsData modeling, SQL, BI tools, AWS servicesData cleaning, SQL, Excel, visualization tools
Work EnvironmentTech-focused, cloud-based, cross-functional teamsBusiness units, reporting, data interpretation
Industry UsageTech, e-commerce, retailFinance, marketing, operations

The Contract Amazon Business Intelligence Engineer and Contract Data Analyst roles both involve working with data, but the BI Engineer focuses more on building data pipelines, dashboards, and leveraging cloud technologies, while the Data Analyst emphasizes data interpretation and reporting. Both roles require SQL skills and are common in tech and retail industries, but the BI Engineer typically works more with advanced analytics and cloud platforms.

How do contract Amazon Business Intelligence Engineers typically collaborate with cross-functional teams to deliver data-driven insights?

As a Contract Amazon Business Intelligence Engineer, you'll frequently work alongside product managers, data scientists, and software engineers to translate business requirements into actionable data solutions. Collaboration often involves attending regular meetings to gather requirements, sharing analytical findings, and iterating on dashboards or reports based on stakeholder feedback. Since contract roles may require onboarding quickly, strong communication skills and adaptability are key for integrating smoothly into existing teams and workflows. This environment provides great exposure to diverse projects and the opportunity to build relationships across multiple departments.

What is a contract Amazon Business Intelligence Engineer?

Contract Amazon Business Intelligence Engineers are data professionals hired on a temporary or project basis to work with Amazon’s vast datasets. They are responsible for designing, developing, and maintaining scalable data solutions, dashboards, and reports that support business decision-making. These engineers use tools like SQL, Python, and Amazon Web Services (AWS) to analyze and interpret large volumes of data, identify trends, and provide actionable insights. Their contract status means they typically work for a fixed period or on specific projects rather than as permanent employees.

What are the key skills and qualifications needed to thrive as a contract Amazon Business Intelligence Engineer, and why are they important?

To thrive as a Contract Amazon Business Intelligence Engineer, you need a strong background in data analysis, SQL, and data warehousing, often supported by a degree in computer science or a related field. Expertise in BI tools like Tableau or QuickSight, experience with AWS services, and knowledge of ETL processes are typically required. Strong problem-solving, communication, and stakeholder management skills help deliver actionable insights and collaborate effectively across teams. These skills are crucial for transforming complex data into meaningful business solutions that drive decision-making at Amazon.
What are the most commonly searched types of Amazon Business Intelligence Engineer jobs in Raleigh, NC? The most popular types of Amazon Business Intelligence Engineer jobs in Raleigh, NC are:
What job categories do people searching Contract Amazon Business Intelligence Engineer jobs in Raleigh, NC look for? The top searched job categories for Contract Amazon Business Intelligence Engineer jobs in Raleigh, NC are:

$111K - $133K/yr

Full-time

Re-posted yesterday


First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

108th of 170 rated banks


Job description

Overview

This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Texas and Florida.

We are seeking an experienced Lead Data Engineer to join our Data Platform Engineering Organization and lead the design, development, and modernization of enterprise data platforms that power analytics, reporting, business intelligence, and operational decision-making across the organization.

The ideal candidate is a hands-on data engineering leader with expertise in cloud-based data platforms, data warehousing, ETL/ELT development, and modern data engineering practices. This individual will be responsible for delivering scalable data solutions utilizing AWS Services, Snowflake, dbt, Python, SQL, and related technologies while mentoring team members and driving engineering excellence.
As part of our growing Cloud Data and AI Platform organization, you will lead and collaborate with a talented team of engineers, product partners, and business stakeholders to deliver enterprise data products and cloud-based data solutions. This role offers the opportunity to mentor engineering talent, drive engineering best practices, and support the adoption of modern data engineering capabilities across the organization.


Responsibilities

The successful candidate will have experience working in large enterprise environments and partnering with cross-functional teams to deliver trusted data products that support strategic business objectives.

  • Lead the design, development, and implementation of enterprise data solutions utilizing AWS Services, Snowflake, dbt, Python, SQL, and related cloud technologies.
  • Develop and support data warehouses, Operational Data Stores (ODS), and ETL/ELT pipelines that enable analytics, reporting, and operational data capabilities.
  • Design and implement batch and real-time data processing solutions using modern streaming and event-driven architectures.
  • Partner with business stakeholders, analysts, and technology teams to translate business requirements into scalable data solutions.
  • Define and promote data quality strategies, testing standards, governance practices, and compliance controls across the data platform lifecycle.
  • Establish enterprise testing practices, including data validation frameworks, dbt testing standards, and quality controls to support trusted data products.
  • Define monitoring, observability, and operational reliability standards, including dashboards, alerts, service-level objectives (SLOs), and service-level agreements (SLAs) for enterprise data platforms.
  • Establish deployment strategies, environment promotion standards, and release governance practices that support secure and reliable delivery across enterprise data platforms.
  • Contribute to technical discussions, peer reviews, and knowledge-sharing initiatives across the data engineering team.
  • Leverage AI-powered development and productivity tools to accelerate solution delivery, improve code quality, and enhance engineering productivity

Qualifications

Bachelor's Degree and 6 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines.

OR

High School Diploma or GED and 10 years of experience in the same areas.

Preferred Qualifications

  • Advanced experience with cloud platforms such as AWS, Azure, or GCP.
  • Advanced experience with modern data warehousing and large-scale data processing technologies such as Snowflake, Spark, or equivalent platforms.
  • Advanced proficiency in Python and SQL.
  • Advanced experience designing, developing, orchestrating, and supporting ETL/ELT pipelines and data integration solutions using tools such as dbt, Apache Airflow, Astronomer, or equivalent cloud-native data engineering technologies.
  • Advanced experience with data modeling, data warehousing, and data engineering best practices.
  • Experience designing, developing, and supporting scalable, reliable, and high-performing data engineering solutions in enterprise environments.
  • Experience collaborating with business and technology stakeholders to deliver data-driven solutions.
  • Strong analytical, problem-solving, and communication skills.
Following qualifications are a plus
  • Advanced experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, Informatica, or equivalent technologies.
  • Experience developing and supporting Operational Data Stores (ODS), analytics platforms, and data products.
  • Experience with Snowflake Cortex, Change Data Capture (CDC), streaming, and real-time data ingestion technologies including Kafka, Amazon Kinesis, Qlik Replicate, Snow pipe Streaming, or equivalent platforms.
  • Experience integrating data across AWS, on-premises, and Snowflake environments, with exposure to enterprise security, governance, and compliance frameworks.
  • Experience with Data Vault modeling and modern data warehousing methodologies.
  • Experience leading technical initiatives, mentoring team members, and promoting engineering best practices.
  • Experience within Financial Services, Banking, or other highly regulated industries.
  • Familiarity with Tableau, Power BI, or other analytics and visualization platforms.
  • Experience using AI-powered development and productivity tools to improve engineering efficiency and delivery outcomes.
  • AWS Certified Data Engineer – Associate, AWS Certified Solutions Architect – Associate or Professional, SnowPro Core Certification, SnowPro Advanced Data Engineer Certification, or equivalent cloud and data platform certifications.

#LI-JM1

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Qualifications:

Bachelor's Degree and 6 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines.

OR

High School Diploma or GED and 10 years of experience in the same areas.

Preferred Qualifications

  • Advanced experience with cloud platforms such as AWS, Azure, or GCP.
  • Advanced experience with modern data warehousing and large-scale data processing technologies such as Snowflake, Spark, or equivalent platforms.
  • Advanced proficiency in Python and SQL.
  • Advanced experience designing, developing, orchestrating, and supporting ETL/ELT pipelines and data integration solutions using tools such as dbt, Apache Airflow, Astronomer, or equivalent cloud-native data engineering technologies.
  • Advanced experience with data modeling, data warehousing, and data engineering best practices.
  • Experience designing, developing, and supporting scalable, reliable, and high-performing data engineering solutions in enterprise environments.
  • Experience collaborating with business and technology stakeholders to deliver data-driven solutions.
  • Strong analytical, problem-solving, and communication skills.
Following qualifications are a plus
  • Advanced experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, Informatica, or equivalent technologies.
  • Experience developing and supporting Operational Data Stores (ODS), analytics platforms, and data products.
  • Experience with Snowflake Cortex, Change Data Capture (CDC), streaming, and real-time data ingestion technologies including Kafka, Amazon Kinesis, Qlik Replicate, Snow pipe Streaming, or equivalent platforms.
  • Experience integrating data across AWS, on-premises, and Snowflake environments, with exposure to enterprise security, governance, and compliance frameworks.
  • Experience with Data Vault modeling and modern data warehousing methodologies.
  • Experience leading technical initiatives, mentoring team members, and promoting engineering best practices.
  • Experience within Financial Services, Banking, or other highly regulated industries.
  • Familiarity with Tableau, Power BI, or other analytics and visualization platforms.
  • Experience using AI-powered development and productivity tools to improve engineering efficiency and delivery outcomes.
  • AWS Certified Data Engineer – Associate, AWS Certified Solutions Architect – Associate or Professional, SnowPro Core Certification, SnowPro Advanced Data Engineer Certification, or equivalent cloud and data platform certifications.

#LI-JM1

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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